Research On Credit Index Of Manufacturing Industry SME Based On Tax Data

“Financing Difficulty” and “High Financing Expense” for small and medium-sized enterprises are two major factors that impede the development of China’s economy.With the advancing of reform and opening-up policy,China’s economy keeps growing at an extraordinary speed.Among many contributors,enterprises,especially small and medium-sized enterprises become the backbone power of in the development of China’s economy.However,despite the contribution,small and medium-sized enterprises have revealed some of their own problem against enterprise financing compared with large or listed enterprises.Unaudited financial data,lack of financial transparency,untraceable financial information,primitive financial management,etcetera,are all undeniable problems when it comes to financing.Therefore,banks will have handle extra instability and risk facing small and medium-sized enterprises.With cost assessment of gathering financial information and information asymmetry,banks find it hard to evaluate small and medium-sized enterprises’ credit.As a result,such enterprises are lacking of channels to get loans or to get loans with reasonable cost.Without the support of financial system,the development of small and medium-sized enterprises are severely restrained.Through literature analysis,author discussed and analyzed the connotation and evaluation of credit,value add tax related data features,theories and development of supply chain finance.Based on the analytical results,a new enterprise credit evaluation methodology was revealed.With the integration of the supply chain,the financial relationship within became more inseparable and associated.Based on the fact,a supply chain finance evaluation method centered enterprise credit evaluation based on tax big data looked promising against all existing problems in enterprise credit evaluation.In order to develop the evaluation method,the small and medium-sized enterprises in manufacturing industry were selected as the analytical sample.Through descriptive statistic,the tax data of the sample was analyzed and a series of evaluation indexes were developed from the characteristics of the tax data and the necessity of supply chain finance evaluation methods.Then,based on the evaluation index system,logistic regression model was selected as evaluation model.And lastly,the thesis discussed the synthesis and applications of the credit index according to the analytical results from the logistic regression model.The thesis considered and discussed the application of tax data in enterprise credit evaluation which offered a new method to small and medium-sized enterprise credit evaluation.In addition,through various research methods,thesis tried to discuss and testify the universal applicability,rationality of the method.As a result,through supply chain and supply chain finance points of view,the transaction information is utilized in enterprise credit evaluation.Based on that,a new method of evaluating general credit status of enterprise group was developed and discussed.The credit index as the result,showed its own analytical abilities and applicability.Despite the difficulty,the thesis tries to research and explore another path for enterprise credit evaluation in order to provide countable and unprejudiced reference to relieve and support small and medium-sized enterprise facing“Financing Difficulty” and “High Financing Expense” problems.Additionally,motivate enterprises to elevate their priority and degree of attention towards tax credit and tax compliance,and assist the promotion of national social credit system development.